Results 291 to 300 of about 203,330 (344)

Inductive Logic Programming

Lecture Notes in Computer Science, 2016
Proceedings of the 24th International Conference on Inductive Logic Programming, Nancy, France, September 14-16, 2014.
Davis, Jesse, Ramon, Jan
semanticscholar   +5 more sources

Inductive Synthesis of Logic Programs and Inductive Logic Programming [PDF]

, 1994
Inductive Logic Programming deals with the problem of generating logic programs from examples, normally given as ground atoms. We briefly survey older methods (Shapiro’s MIS and Plotkin’s least general generalizations) which have set the foundations of the field and inspired more recent top-down and bottom-up approaches, respectively.
Francesco Bergadano, Daniele Gunetti
openaire   +1 more source

Integrating induction and abduction in logic programming [PDF]

Information Sciences, 1999
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
LAMMA, Evelina, MELLO, Paola, MILANO, Michela, RIGUZZI, Fabrizio   +3 more
openaire   +3 more sources

Phonotactics in Inductive Logic Programming

2004
We examine the results of applying inductive logic programming (ILP) to a relatively simple linguistic task, that of recognizing monosyllables in one language. ILP is suited to linguistic problems given linguists' preference for formulating their theories in discrete rules, and because of ILP's ability to incorporate various background theories. But it
John Nerbonne, Stasinos Konstantopoulos
openaire   +3 more sources

Inductive logic programming

New Generation Computing, 1991
A new research area, Inductive Logic Programming, is presently emerging. While inheriting various positive characteristics of the parent subjects of Logic Programming and Machine Learning, it is hoped that the new area will overcome many of the limitations of its forebears.
openaire   +2 more sources

Bayesian Inductive Logic Programming

Proceedings of the seventh annual conference on Computational learning theory - COLT '94, 1994
Inductive Logic Programming (ILP) involves the construction of first-order definite clause theories from examples and background knowledge. Unlike both traditional Machine Learning and Computational Learning Theory, ILP is based on lock-step development of Theory, Implementations and Applications.
openaire   +3 more sources

Support Vector Inductive Logic Programming [PDF]

, 2005
In this paper we explore a topic which is at the intersection of two areas of Machine Learning: namely Support Vector Machines (SVMs) and Inductive Logic Programming (ILP). We propose a general method for constructing kernels for Support Vector Inductive Logic Programming (SVILP).
Huma Lodhi, Stephen Muggleton, Ata Amini, Michael J.E. Sternberg   +3 more
openaire   +1 more source

Grammar Induction as Substructural Inductive Logic Programming

2000
In this chapter we describe an approach to grammar induction based on categorial grammars: the EMILE algorithm. Categorial grammars are equivalent to context-free grammars. They were introduced by Ajduciewicz and formalised by Lambek. Technically they can be seen as a variant of the propositional calculus without structural rules.
de Haas, E., Adriaans, P.W.
openaire   +3 more sources

Inductive logic programming and learnability

ACM SIGART Bulletin, 1994
The paper gives an overview of theoretical results in the rapidly growing field of inductive logic programming (ILP). The ILP learning situation (generality model, background knowledge, examples, hypotheses) is formally characterized and various restrictions of it are discussed in the light of their impact on learnability.
Jörg-Uwe Kietz, Sašo Džeroski
openaire   +2 more sources